多目标跟踪滤波器中的出生和死亡

R. Streit
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引用次数: 5

摘要

在多目标跟踪滤波器中,采用连续时间出生和死亡过程对目标数量进行建模。一般问题是针对指定目标数和杂波数初始分布的任意边界条件而制定的。本文讨论了三个例子,其中两个是新的。利用纯死亡过程和新目标和旧目标的泊松数,给出了PHD强度滤波器。第二种是一个纯死亡过程,在先验目标中有一定数量的目标,新目标的泊松分布数量。第三个示例使用与第二个示例相同的边界条件,但结合了目标出生和死亡过程。在没有测量的特殊情况下,比较了这些滤波器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Birth and death in multitarget tracking filters
Continuous time birth and death processes are used to model the number of targets in multitarget tracking filters. The general problem is formulated for arbitrary boundary conditions that specify the initial distributions of the numbers of targets and clutter. Three examples are discussed, two of which are new. One uses a pure death process and Poisson numbers of prior and new targetsit gives the PHD intensity filter. The second is a pure death process with a specified number of targets in the prior and a Poisson distributed number of new targets. The third uses the same boundary conditions as the second example but with a combined target birth and death process. The behavior of these filters is compared in the special case when there are no measurements.
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